Supervised learning tends to get the most publicity in discussions of artificial intelligence techniques since it’s often the last step used to create the AI models for things like image recognition, better predictions, product recommendation and lead scoring.

In contrast, unsupervised learning tends to work behind the scenes earlier in the AI development lifecycle: It is often used to set the stage for the supervised learning’s magic to unfold, much like the grunt work that allows a manager to shine.

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